Model save
Browse files- README.md +80 -0
- all_results.json +9 -0
- generation_config.json +6 -0
- train_results.json +9 -0
- trainer_state.json +815 -0
README.md
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| 1 |
+
---
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license: apache-2.0
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base_model: alignment-handbook/zephyr-7b-sft-full
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: zephyr-7b-dpo-full-prometheus_consistent-low-curriculum
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# zephyr-7b-dpo-full-prometheus_consistent-low-curriculum
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5216
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- Rewards/chosen: -0.8203
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- Rewards/rejected: -1.7663
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- Rewards/accuracies: 0.75
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- Rewards/margins: 0.9460
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- Logps/rejected: -395.7078
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- Logps/chosen: -357.6330
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- Logits/rejected: 0.0656
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- Logits/chosen: -1.2359
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 55
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.662 | 0.1143 | 50 | 0.6466 | -0.0212 | -0.1670 | 0.6940 | 0.1458 | -235.7726 | -277.7203 | -2.4687 | -2.5688 |
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| 0.5829 | 0.2286 | 100 | 0.5717 | -0.4507 | -1.0582 | 0.75 | 0.6075 | -324.8917 | -320.6731 | -0.8703 | -1.2813 |
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| 0.5449 | 0.3429 | 150 | 0.5481 | -0.4787 | -1.2088 | 0.7586 | 0.7301 | -339.9565 | -323.4756 | -0.5998 | -1.4586 |
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| 0.5265 | 0.4571 | 200 | 0.5408 | -0.5815 | -1.4843 | 0.7629 | 0.9029 | -367.5099 | -333.7512 | -0.3317 | -1.4393 |
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| 0.5634 | 0.5714 | 250 | 0.5355 | -1.0776 | -1.9985 | 0.7672 | 0.9209 | -418.9265 | -383.3671 | 0.4274 | -0.9575 |
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| 0.521 | 0.6857 | 300 | 0.5250 | -0.8302 | -1.8422 | 0.7672 | 1.0119 | -403.2920 | -358.6284 | 0.4320 | -1.0318 |
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| 0.5252 | 0.8 | 350 | 0.5232 | -0.9076 | -1.8790 | 0.7457 | 0.9714 | -406.9760 | -366.3648 | 0.3793 | -1.0407 |
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| 0.5357 | 0.9143 | 400 | 0.5216 | -0.8203 | -1.7663 | 0.75 | 0.9460 | -395.7078 | -357.6330 | 0.0656 | -1.2359 |
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### Framework versions
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- Transformers 4.44.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9988571428571429,
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"total_flos": 0.0,
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"train_loss": 0.5593291070968662,
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"train_runtime": 11268.1264,
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"train_samples": 55999,
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"train_samples_per_second": 4.97,
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"train_steps_per_second": 0.039
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.44.0.dev0"
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}
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train_results.json
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{
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"epoch": 0.9988571428571429,
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"total_flos": 0.0,
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"train_loss": 0.5593291070968662,
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"train_runtime": 11268.1264,
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"train_samples": 55999,
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"train_samples_per_second": 4.97,
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"train_steps_per_second": 0.039
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}
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trainer_state.json
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